Artificial intelligence has become the mainstream data-driven technologies during these last years due to its ability to drive transformation across multiple sectors. While artificial intelligence technologies’ potential benefits can be massive for growth and development, ‘there is no such thing as a technological silver bullet’.

Over the last decades, the concept of data protection has been provoked by technological innovation, and with artificial intelligence technologies, it is no different.

How can we responsible develop artificial intelligence technologies?
How can we ensure that collected personal data are used with positive benefits by artificial intelligence technologies?
How can we make sure we are not setting an undesirable precedent for the future?

These are some of the questions we are going to tackle during this course.  With a particular focus on European policy-making and the European legal frameworks and proposals, we will pinpoint the challenges posed by these new technologies and find clear methods to address such challenges as a pre-condition to develop an ecosystem of trust.

What will you learn?

• Become familiar with the concepts of artificial intelligence, high-risk artificial intelligence, open data, use and re-use of data, data altruism, data protection impact assessment;
• Develop knowledge of relevant EU instruments, including the General Data Protection Regulation, Open Data Directive, Data Governance Act (proposal), Regulation on a European Approach for Artificial Intelligence (proposal);
• Discuss challenges and opportunities related to the deployment and use of artificial intelligence technologies;
• Understand the frictions between data protection provisions and the use of artificial intelligence;
• Gain insights on how artificial intelligence has been harnessed or is intended to be harnessed in the government processes and for public services;
• Become familiar with the risks and threats when using artificial intelligence technologies;
• Learn when and how to conduct a data protection impact assessment for the implementation of artificial intelligence technologies;
• Benefit directly from the insights of artificial intelligence policymakers and experts and benefit from networking opportunities during the online breaks;
• Develop your international professional network in the field of artificial intelligence and data protection.

Course methodology/highlights and level

This course is open also to participants with less advanced knowledge on artificial intelligence and governance of data. This course therefore includes:

• detailed explanations of the key concepts, principles, roles and responsibilities of the artificial intelligence actors;
• insights with practical examples based on thorough scientific research;
• input and coaching on practical issues encountered by participants;
• a highly interactive approach – the course structure will give you opportunities to ask questions and share experiences during the dedicated Q&A sessions and online breakout rooms.